描述bug

我为fine tuning mistralai/Mistral-7B-v0.1启用了4位量化。似乎Ludwig 0.10.1依赖于bitsandbytes < 0.41.0。但是当我运行训练器时，我得到了以下警告：

You are calling `save_pretrained` to a 4-bit converted model, but your `bitsandbytes` version doesn't support it. 
If you want to save 4-bit models, make sure to have `bitsandbytes>=0.41.3` installed.

重现问题

重现问题的步骤：

1. 安装Ludwig

pip install ludwig[full]

2. 配置文件( model.yaml ):

model_type: llm
base_model: mistralai/Mistral-7B-v0.1

quantization:
  bits: 4

adapter:
  type: lora

prompt:
  template: |
### Instruction:
{instruction}

### Input:
{input}

### Response:

input_features:
  - name: prompt
    type: text

output_features:
  - name: output
    type: text

generation:
  temperature: 0.1

trainer:
  type: finetune
  epochs: 3
  optimizer:
    type: paged_adam
  batch_size: 1
  eval_steps: 100
  learning_rate: 0.0002
  eval_batch_size: 2
  steps_per_checkpoint: 1000
  learning_rate_scheduler:
    decay: cosine
    warmup_fraction: 0.03
  gradient_accumulation_steps: 16
  enable_gradient_checkpointing: true

preprocessing:
  sample_ratio: 0.1

3. 训练模型：

ludwig train --config model.yaml --dataset "ludwig://alpaca"

预期行为

在不支持4位量化的bitsandbytes版本上，不应该显示警告。

环境信息(请填写以下信息):

• OS: Linux
• 版本：6.7.6-arch1-1
• Python: 3.10.8
• Ludwig: v0.10.1